Max Robotics — Global Service Robot Directory + US Certification

About

Mikhail Ivanou is a robotics researcher whose work focuses on advancing the software and modeling foundations of autonomous robotic systems. His primary research areas include Simultaneous Localization and Mapping (SLAM), robot description formats, and the software engineering practices that support modern robotics development. Ivanou’s most impactful contribution is his 2018 comparative study of ROS-based 2D SLAM algorithms—Google Cartographer, Gmapping, and Hector SLAM—which has garnered over 100 citations. This work provided the community with a rigorous, ground-truth-based evaluation using the Average Distance to Nearest Neighbor (ADNN) metric, offering clear guidance for practitioners selecting SLAM solutions. He has also explored the integration of Continuous Integration/Continuous Delivery (CI/CD) pipelines into robotics development, a forward-looking approach that bridges software engineering and robotics. Additionally, Ivanou has contributed to the mathematical modeling of cable-driven robots, addressing the sagging behavior of flexible elements in large-scale parallel mechanisms. His work on modern ROS-like frameworks using microservices reflects a commitment to making robotic systems more modular, scalable, and maintainable. Through these contributions, Ivanou is helping to shape both the practical tools and the theoretical underpinnings of contemporary robotics.